Impact of IoT to Accomplish a Vision of Digital Transformation of Cities

Tyagi, Shagun; Joshi, Mayank; Ansari, Nabila; Singh, Vikash Kumar

doi:10.1201/9780429053290-15

Cited by 9 publications

(1 citation statement)

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“…One could almost say that the term IoT is the twin brother or twin sister of the term 'smart'. Many believe that the term IoT was first coined by Kevin Ashton in 1999 (Darwish et al, 2019), a wellknown British technology pioneer (Tyagi et al, 2019) to refer to a large set of named things that are interconnected (Alagar & Wan, 2019). Even though the term has been circulating for the past two decades, no commonly accepted definition exists.…”

Section: The Birth Of 'Smart' and 'Iot'mentioning

confidence: 99%

Untitled

2021

3C Tecnología

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Since the origin of cell phones, the development of mobile applications has grown exponentially, opening a new field of research in the field of software engineering. The need to produce an application with high quality indices has led to the study and formulation of new methodologies that cover all the corresponding aspects related to quality and production time.The objective of this research is to carry out an exhaustive study to extract relevant data from each framework through bibliographic and field research for the construction of a state of the art that verifies through an analysis the methodology indicated for the development of mobile applications. The result obtained from the analysis shows that, despite finding a certain similarity between the methodologies with agile principles, Scrum is characterized as the indicated methodology for the development of mobile applications. This fact gave rise to the emergence of new software development methodologies with approaches to the so-called agile practices whose objective is the production of quality software.

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Section: The Birth Of 'Smart' and 'Iot'mentioning

confidence: 99%

Untitled

2021

3C Tecnología

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Algorithmic Cities: A Dystopic or Utopic Future?

Neto

Cartaxo

2020

Intelligent Systems, Control and Automation: Science and Engineering

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Cities of today face a digital transformation process, leading to a new reality where urban space is taking advantage of information and communication technologies and data science to answer present and future challenges, namely to become more efficient in services and infrastructures management in order to deliver increased quality of life to the people who live, work or visit the city, and addressing at the same time the problems of climate change. This new reality is leveraged by big data produced by the cities internet of everything (as interconnected systems, sensors and people), information management and data science capabilities, which allow us to measure and describe what happens, predict what can happen, and prescribe what could be the course of actions bringing policy making to a fact-based environment, which had never been possible before. In this work we will address the opportunities and challenges of this paradigm shift that is leading to the city as a platform reality that support what we can call the algorithmic city where it is up to us to decide if this will be a dystopic or utopic future for the citizen.

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